Machine Learning Methods for Histopathological Image Analysis

Abundant accumulation of digital histopathological images has led to the increased demand for their analysis, such as computer-aided diagnosis using machine learning techniques. However, digital pathological images and related tasks have some issues to be considered. In this mini-review, we introduc...

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Veröffentlicht in:Computational and structural biotechnology journal Jg. 16; S. 34 - 42
Hauptverfasser: Komura, Daisuke, Ishikawa, Shumpei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Netherlands Elsevier B.V 01.01.2018
Research Network of Computational and Structural Biotechnology
Elsevier
Schlagworte:
algorithms
artificial intelligence
biotechnology
Computer assisted diagnosis
Deep learning
Digital image analysis
Histopathology
image analysis
Machine learning
Short Survey
Whole slide images
Deep learning
Histopathology
Whole slide images
Digital image analysis
Machine learning
Computer assisted diagnosis
ISSN:2001-0370, 2001-0370
Online-Zugang:Volltext
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Zusammenfassung:Abundant accumulation of digital histopathological images has led to the increased demand for their analysis, such as computer-aided diagnosis using machine learning techniques. However, digital pathological images and related tasks have some issues to be considered. In this mini-review, we introduce the application of digital pathological image analysis using machine learning algorithms, address some problems specific to such analysis, and propose possible solutions.
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ISSN:2001-0370
2001-0370
DOI:10.1016/j.csbj.2018.01.001